In this paper, we propose a simple betweenness-driven model to capture the dynamics of
traffic routing choice behaviors. By comparing with two other models (degree-driven and …

Information routing strategy is a hot issue in the study of complex network traffic dynamics. In
this paper, we define a new gravitational centrality and introduce parameter α 1 to control …

This paper investigates the degree of congestion and efficiency in complex traffic networks,
by introducing congestion effects, which can be described by flow-based link cost functions …

In transmission problem of many complex networks, there are some restrictions on the
routing path between a pair of sources and destinations, especially for the transmission …

The network structure acquires great influence on the traffic capacity for complex network.
Since the nodes with high degree usually bear large load in the process of packet …

In this paper, an improved routing strategy is proposed for enhancing the traffic capacity of
scale-free networks. Instead of using the information of degree and betweenness centrality …

Using numerical simulations, we investigate the effects of the connectivity and topologies of
network on the quality of transport between connected scale free networks. Hence, the flow …

In recent years, the transportation systems have to face the increasing challenges of
congestion and inefficiency, and therefore the research on traffic dynamics of complex …

The efficiency of traffic routing on complex networks can be reflected by two key
measurements, ie, the network capacity and the average travel time of data packets. In this …

In this paper, a new model of the interdependent complex network is proposed, based on
two assumptions that (i) the capacity of a node depends on its degree, and (ii) the traffic load …